Confluent is looking to develop a cloud-native, multi-tenant service for Stream Governance to empower customers to manage and understand their data in a self-service way.
Requirements
- Deep hands-on technical expertise in hyper-scale distributed systems engineering
- Experience running production services in the cloud and being part of oncall rotation
- Expertise in cloud-native technology, including networking & security
- Prior experience working on AWS, GCP, or Azure and a deep understanding of cloud best practices
- Proven track record of leading the delivery of large-scale, secure, highly available, low latency, high quality systems
- Experience with Kafka and real-time data
- Experience with cloud-native technologies and microservices architecture
Responsibilities
- Design and develop a cloud-native, multi-tenant service for Stream Governance
- Develop a cloud-native Stream Governance platform for Kafka and real-time data
- Architect a complex engineering system from end to end
- Solve complicated technical projects with high quality and provide technical guidance to the team in specialized areas
- Develop, manage, and maintain a mission-critical service with a 99.99 SLA running on 100+ AWS, GCP, and Azure regions
- Enhance the stability, performance, scalability, and operational excellence across multiple critical systems
- Evaluate and enhance the efficiency of the platform’s technology stack, keeping pace with industry trends and adopting state-of-the-art solutions
Other
- 5+ years of relevant software development experience
- BS Degree in Computer Science, Engineering, or equivalent experience. An advanced degree in computer science is preferred
- Ability to influence the team, peers, and management using effective communication and collaborative techniques
- Proven experience in leading and mentoring technical teams
- Drive results by removing friction and improving the development stack with urgency and prioritization skills
